Dateset of “Review of Software Performance and Architecture Analysis Integration”

Software architecture is the most important determinantto systematically achieve quality attributes in a softwaresystem, including software performance. However there is nocomprehensive understanding of why and how to integratesoftware architecture and performance analysis to guide research.To fill this gap, this paper presents a systematic review of 83studies. We focus on six research questions that provide guidancefor researchers and practitioners to gain an in-depth understandingof this research area. These questions addressed: the study purposes(RQ1), the relevant software development activities (RQ2), thetypical study templates (RQ3), the available instruments forautomating the analysis (RQ4), the evaluation methodology (RQ5),and the limitations and future research directions (RQ6). The mostimportant outcome of our study is an identification of criticalresearch gaps and directions, including: 1) the lack of available toolsand benchmark datasets to support replication, cross-validation andcomparison of studies; 2) the need for architecture and performanceanalysis techniques that handle the challenges with emergingsoftware domains, such as blockchain and cyber-physical systems;3) the lack of consideration of factors such as usability thatimpact the practical adoption of the architecture and performanceanalysis approaches; 4) the need for integrating architecture andperformance analysis in Agile settings; and finally 5) the need forthe adoption of modern ML/AL techniques to efficiently integratearchitecture and performance analysis.